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RZR

Cross-channel DSP for growth marketing

DevOps Engineer

Platform EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 3 years of professional experience in DevOps or site reliability engineering, with a strong focus on containerization; Senior roles require at least 6 years.
  • Deep knowledge of Kubernetes components, including etcd, API Server, and Scheduler, and custom resource definition development.
  • Strong proficiency in Linux internals, including namespaces, control groups, and extended Berkeley Packet Filter, as well as shell scripting.
  • Expert-level experience with Terraform or Pulumi.
  • Practical experience with Istio or Linkerd for traffic management and mutual TLS.
  • Proficiency in Go or Python; Go is preferred for Kubernetes operators.
  • A bachelor's or master's degree in Computer Science or a related technical field.

Responsibilities

  • Design, deploy, and maintain production-grade Kubernetes clusters across on-premises bare-metal and hybrid cloud environments.
  • Optimize Kubernetes Container Network Interface plugins, such as Cilium and Calico, to handle high-throughput real-time bidding traffic with minimal overhead.
  • Build and manage continuous integration and continuous delivery pipelines using Argo CD or Flux for declarative, reproducible infrastructure.
  • Fine-tune container runtimes and resource quotas, including CPU and memory pinning, for latency-sensitive applications.
  • Implement deep-stack monitoring using Prometheus, Grafana, and Jaeger to trace requests across microservices.
  • Enforce cluster security using network policies, Open Policy Agent/Gatekeeper, and automated container-image vulnerability scanning.

Desired Qualifications

  • Go proficiency is preferred for developing Kubernetes operators.

About the Company

RZR

Cross-channel DSP for growth marketing

RZR is a growth marketing intelligence platform that unifies and optimizes advertising campaigns across mobile, retargeting, and Connected TV. Its DSP uses a proprietary neural architecture to analyze billions of signals in real time and predict a user’s lifetime value before bidding, guiding campaigns toward higher-value outcomes like ROAS and long-term retention. The platform emphasizes cross-channel integration and a single connected performance system, powered by global data centers and ML models to scale for brands in gaming, retail, and entertainment. The goal is to help brands increase marketing effectiveness across channels through value-based bidding and attribution.

Company size
51-200
Company stage
Acquired
Total funding
$1.7M
Headquarters
United States
Founded
2010

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